At a Glance
- Tasks: Design and implement cutting-edge AI solutions in financial services.
- Company: Join a leading recruitment agency in the analytics field.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Other info: Great chance to work on high-impact AI transformation programmes.
- Why this job: Shape AI architecture strategy and lead impactful projects in capital markets.
- Qualifications: Experience in AI architecture and cloud platforms required.
The predicted salary is between 70000 - 90000 £ per year.
Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment.
You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes.
Key responsibilities:- Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs
- Designing and implementing end to end AI and ML architectures across enterprise environments
- Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments
- Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation
- Evaluating and selecting technologies across open source and commercial platforms
- Designing and integrating AI solutions into existing enterprise systems and applications
- Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives
- Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle
- Supporting architecture governance, technical review boards and design authorities
- Building relationships with technical and business stakeholders across large scale transformation programmes
- Producing solution design documentation, implementation plans and technical proposals
- Providing technical leadership and mentoring within multidisciplinary teams
- Experience designing AI, ML or modern data architectures within enterprise environments
- Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies
- Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments
- Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns
- Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies
- Understanding of MLOps, LLMOps and model lifecycle management principles
- Experience designing APIs and integrating AI solutions into enterprise environments
- Strong understanding of modern data architectures and platform design principles
- Experience presenting architectural designs to technical and business stakeholders
- Financial services experience within capital markets or broader banking environments
This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments.
Locations
AI Solution Architect - Senior Manager/Associate Director Capital Markets in Bonnyrigg, Midlothian employer: Datatech Analytics
Datatech Analytics is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration within the secure government and defence sectors. Employees benefit from meaningful projects that have a direct impact on national security, alongside opportunities for professional growth and development in cutting-edge technologies. With a hybrid working model and a focus on employee well-being, this role provides a unique chance to contribute to critical transformation programmes while enjoying a supportive and engaging workplace.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solution Architect - Senior Manager/Associate Director Capital Markets in Bonnyrigg, Midlothian
✨Tap into Campus Networks
If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.
✨Get Certified
Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.
✨Connect on Professional Platforms
Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
✨Apply Directly and Be Proactive
Don’t shy away from reaching out directly to firms like Datatech Analytics. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.
We think you need these skills to ace AI Solution Architect - Senior Manager/Associate Director Capital Markets in Bonnyrigg, Midlothian
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to Datatech Analytics.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on Datatech Analytics's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at Datatech Analytics
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with Datatech Analytics.
✨Prepare for Case Studies
Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at Datatech Analytics will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former Datatech Analytics employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
